pyspark.sql.functions.pmod¶

pyspark.sql.functions.pmod(dividend: Union[ColumnOrName, float], divisor: Union[ColumnOrName, float]) → pyspark.sql.column.Column[source]¶

Returns the positive value of dividend mod divisor.

New in version 3.4.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

dividendstr, Column or float: the column that contains dividend, or the specified dividend value
divisorstr, Column or float: the column that contains divisor, or the specified divisor value

Returns

Column: positive value of dividend mod divisor.

Examples

>>> from pyspark.sql.functions import pmod
>>> df = spark.createDataFrame([
...     (1.0, float('nan')), (float('nan'), 2.0), (10.0, 3.0),
...     (float('nan'), float('nan')), (-3.0, 4.0), (-10.0, 3.0),
...     (-5.0, -6.0), (7.0, -8.0), (1.0, 2.0)],
...     ("a", "b"))
>>> df.select(pmod("a", "b")).show()
+----------+
|pmod(a, b)|
+----------+
|       NaN|
|       NaN|
|       1.0|
|       NaN|
|       1.0|
|       2.0|
|      -5.0|
|       7.0|
|       1.0|
+----------+

pyspark.sql.functions.log2 pyspark.sql.functions.pow